WO2022067467A1

WO2022067467A1 - Preprocessing operations for sensor data

Info

Publication number: WO2022067467A1
Application number: PCT/CN2020/118703
Authority: WO
Inventors: Yuwei REN; Ruiming Zheng; Yu Zhang; Hao Xu; Yin Huang; Liangming WU; Qiaoyu Li
Original assignee: Qualcomm Incorporated
Priority date: 2020-09-29
Filing date: 2020-09-29
Publication date: 2022-04-07

Abstract

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback. The UE may perform, in connection with the indication of the capability, a sensor data feedback operation on the sensor data before transmission of the sensor data feedback. Numerous other aspects are provided.

Description

PREPROCESSING OPERATIONS FOR SENSOR DATA

FIELD OF THE DISCLOSURE

Aspects of the present disclosure generally relate to wireless communication and to techniques and apparatuses for preprocessing operations for sensor data.

BACKGROUND

Wireless communication systems are widely deployed to provide various telecommunication services such as telephony, video, data, messaging, and broadcasts. Typical wireless communication systems may employ multiple-access technologies capable of supporting communication with multiple users by sharing available system resources (e.g., bandwidth, transmit power, and/or the like) . Examples of such multiple-access technologies include code division multiple access (CDMA) systems, time division multiple access (TDMA) systems, frequency-division multiple access (FDMA) systems, orthogonal frequency-division multiple access (OFDMA) systems, single-carrier frequency-division multiple access (SC-FDMA) systems, time division synchronous code division multiple access (TD-SCDMA) systems, and Long Term Evolution (LTE) . LTE/LTE-Advanced is a set of enhancements to the Universal Mobile Telecommunications System (UMTS) mobile standard promulgated by the Third Generation Partnership Project (3GPP) .

A wireless network may include a number of base stations (BSs) that can support communication for a number of user equipment (UEs) . A user equipment (UE) may communicate with a base station (BS) via the downlink and uplink. The downlink (or forward link) refers to the communication link from the BS to the UE, and the uplink (or reverse link) refers to the communication link from the UE to the BS. As will be described in more detail herein, a BS may be referred to as a Node B, a gNB, an access point (AP) , a radio head, a transmit receive point (TRP) , a New Radio (NR) BS, a 5G Node B, and/or the like.

The above multiple access technologies have been adopted in various telecommunication standards to provide a common protocol that enables different user equipment to communicate on a municipal, national, regional, and even global level. New Radio (NR) , which may also be referred to as 5G, is a set of enhancements to the LTE mobile standard promulgated by the Third Generation Partnership Project (3GPP) . NR is designed to better support mobile broadband Internet access by improving spectral efficiency, lowering costs, improving services, making use of new spectrum, and better integrating with other open standards using orthogonal frequency division multiplexing (OFDM) with a cyclic prefix (CP) (CP-OFDM) on the downlink (DL) , using CP-OFDM and/or SC-FDM (e.g., also known as discrete Fourier transform spread OFDM (DFT-s-OFDM) ) on the uplink (UL) , as well as supporting beamforming, multiple-input multiple-output (MIMO) antenna technology, and carrier aggregation. As the demand for mobile broadband access continues to increase, further improvements in LTE, NR, and other radio access technologies remain useful.

SUMMARY

In some aspects, a method of wireless communication performed by a user equipment (UE) includes transmitting an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and performing, in connection with the indication of the capability, a sensor data feedback operation on the sensor data before transmission of the sensor data feedback.

In some aspects, a method of wireless communication performed by a base station includes receiving, from a UE, an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and receiving, from the UE and in connection with the indication of the capability, sensor data feedback that is based at least in part on performance of the preprocessing operation on the sensor data.

In some aspects, a UE for wireless communication includes a memory; and one or more processors coupled with the memory, the memory and the one or more processors configured to: transmit an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and perform, in connection with the indication of the capability, a sensor data feedback operation on the sensor data before transmission of the sensor data feedback.

In some aspects, a base station for wireless communication includes a memory; and one or more processors coupled with the memory, the memory and the one or more processors configured to: receive, from a UE, an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and receive, from the UE and in connection with the indication of the capability, sensor data feedback that is based at least in part on performance of the preprocessing operation on the sensor data.

In some aspects, a non-transitory computer-readable medium storing a set of instructions for wireless communication includes one or more instructions that, when executed by one or more processors of a UE, cause the UE to: transmit an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and perform, in connection with the indication of the capability, a sensor data feedback operation on the sensor data before transmission of the sensor data feedback.

In some aspects, a non-transitory computer-readable medium storing a set of instructions for wireless communication includes one or more instructions that, when executed by one or more processors of a base station, cause the base station to: receive, from a UE, an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and receive, from the UE and in connection with the indication of the capability, sensor data feedback that is based at least in part on performance of the preprocessing operation on the sensor data.

In some aspects, an apparatus for wireless communication includes means for transmitting an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and means for performing, in connection with the indication of the capability, a sensor data feedback operation on the sensor data before transmission of the sensor data feedback.

In some aspects, an apparatus for wireless communication includes means for receiving, from a UE, an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and means for receiving, from the UE and in connection with the indication of the capability, sensor data feedback that is based at least in part on performance of the preprocessing operation on the sensor data.

Aspects generally include a method, apparatus, system, computer program product, non-transitory computer-readable medium, user equipment, base station, wireless communication device, and/or processing system as substantially described herein with reference to and as illustrated by the drawings and specification.

The foregoing has outlined rather broadly the features and technical advantages of examples according to the disclosure in order that the detailed description that follows may be better understood. Additional features and advantages will be described hereinafter. The conception and specific examples disclosed may be readily utilized as a basis for modifying or designing other structures for carrying out the same purposes of the present disclosure. Such equivalent constructions do not depart from the scope of the appended claims. Characteristics of the concepts disclosed herein, both their organization and method of operation, together with associated advantages will be better understood from the following description when considered in connection with the accompanying figures. Each of the figures is provided for the purposes of illustration and description, and not as a definition of the limits of the claims.

BRIEF DESCRIPTION OF THE DRAWINGS

So that the above-recited features of the present disclosure can be understood in detail, a more particular description, briefly summarized above, may be had by reference to aspects, some of which are illustrated in the appended drawings. It is to be noted, however, that the appended drawings illustrate only certain typical aspects of this disclosure and are therefore not to be considered limiting of its scope, for the description may admit to other equally effective aspects. The same reference numbers in different drawings may identify the same or similar elements.

Fig. 1 is a diagram illustrating an example of a wireless network, in accordance with various aspects of the present disclosure.

Fig. 2 is a diagram illustrating an example of a base station in communication with a UE in a wireless network, in accordance with various aspects of the present disclosure.

Fig. 3 is a diagram illustrating an example of reporting sensor measurements, in accordance with various aspects of the present disclosure.

Fig. 4 is a diagram illustrating an example associated with preprocessing operations for sensor data, in accordance with various aspects of the present disclosure.

Figs. 5 and 6 are diagrams illustrating example processes associated with preprocessing operations for sensor data, in accordance with various aspects of the present disclosure.

Figs. 7 and 8 are block diagrams of example apparatuses for wireless communication, in accordance with various aspects of the present disclosure.

DETAILED DESCRIPTION

Various aspects of the disclosure are described more fully hereinafter with reference to the accompanying drawings. This disclosure may, however, be embodied in many different forms and should not be construed as limited to any specific structure or function presented throughout this disclosure. Rather, these aspects are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. Based on the teachings herein, one skilled in the art should appreciate that the scope of the disclosure is intended to cover any aspect of the disclosure disclosed herein, whether implemented independently of or combined with any other aspect of the disclosure. For example, an apparatus may be implemented or a method may be practiced using any number of the aspects set forth herein. In addition, the scope of the disclosure is intended to cover such an apparatus or method which is practiced using other structure, functionality, or structure and functionality in addition to or other than the various aspects of the disclosure set forth herein. It should be understood that any aspect of the disclosure disclosed herein may be embodied by one or more elements of a claim.

Several aspects of telecommunication systems will now be presented with reference to various apparatuses and techniques. These apparatuses and techniques will be described in the following detailed description and illustrated in the accompanying drawings by various blocks, modules, components, circuits, steps, processes, algorithms, and/or the like (collectively referred to as “elements” ) . These elements may be implemented using hardware, software, or combinations thereof. Whether such elements are implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system.

It should be noted that while aspects may be described herein using terminology commonly associated with a 5G or NR radio access technology (RAT) , aspects of the present disclosure can be applied to other RATs, such as a 3G RAT, a 4G RAT, and/or a RAT subsequent to 5G (e.g., 6G) .

Fig. 1 is a diagram illustrating an example of a wireless network 100, in accordance with various aspects of the present disclosure. The wireless network 100 may be or may include elements of a 5G (NR) network, an LTE network, and/or the like. The wireless network 100 may include a number of base stations 110 (shown as BS 110a, BS 110b, BS 110c, and BS 110d) and other network entities. A base station (BS) is an entity that communicates with user equipment (UEs) and may also be referred to as an NR BS, a Node B, a gNB, a 5G node B (NB) , an access point, a transmit receive point (TRP) , and/or the like. Each BS may provide communication coverage for a particular geographic area. In 3GPP, the term “cell” can refer to a coverage area of a BS and/or a BS subsystem serving this coverage area, depending on the context in which the term is used.

A BS may provide communication coverage for a macro cell, a pico cell, a femto cell, and/or another type of cell. A macro cell may cover a relatively large geographic area (e.g., several kilometers in radius) and may allow unrestricted access by UEs with service subscription. A pico cell may cover a relatively small geographic area and may allow unrestricted access by UEs with service subscription. A femto cell may cover a relatively small geographic area (e.g., a home) and may allow restricted access by UEs having association with the femto cell (e.g., UEs in a closed subscriber group (CSG) ) . A BS for a macro cell may be referred to as a macro BS. A BS for a pico cell may be referred to as a pico BS. A BS for a femto cell may be referred to as a femto BS or a home BS. In the example shown in Fig. 1, a BS 110a may be a macro BS for a macro cell 102a, a BS 110b may be a pico BS for a pico cell 102b, and a BS 110c may be a femto BS for a femto cell 102c. A BS may support one or multiple (e.g., three) cells. The terms “eNB” , “base station” , “NR BS” , “gNB” , “TRP” , “AP” , “node B” , “5G NB” , and “cell” may be used interchangeably herein.

In some aspects, a cell may not necessarily be stationary, and the geographic area of the cell may move according to the location of a mobile BS. In some aspects, the BSs may be interconnected to one another and/or to one or more other BSs or network nodes (not shown) in the wireless network 100 through various types of backhaul interfaces such as a direct physical connection, a virtual network, and/or the like using any suitable transport network.

Wireless network 100 may also include relay stations. A relay station is an entity that can receive a transmission of data from an upstream station (e.g., a BS or a UE) and send a transmission of the data to a downstream station (e.g., a UE or a BS) . A relay station may also be a UE that can relay transmissions for other UEs. In the example shown in Fig. 1, a relay BS 110d may communicate with macro BS 110a and a UE 120d in order to facilitate communication between BS 110a and UE 120d. A relay BS may also be referred to as a relay station, a relay base station, a relay, and/or the like.

Wireless network 100 may be a heterogeneous network that includes BSs of different types, e.g., macro BSs, pico BSs, femto BSs, relay BSs, and/or the like. These different types of BSs may have different transmit power levels, different coverage areas, and different impacts on interference in wireless network 100. For example, macro BSs may have a high transmit power level (e.g., 5 to 40 watts) whereas pico BSs, femto BSs, and relay BSs may have lower transmit power levels (e.g., 0.1 to 2 watts) .

A network controller 130 may couple to a set of BSs and may provide coordination and control for these BSs. Network controller 130 may communicate with the BSs via a backhaul. The BSs may also communicate with one another, e.g., directly or indirectly via a wireless or wireline backhaul.

UEs 120 (e.g., 120a, 120b, 120c) may be dispersed throughout wireless network 100, and each UE may be stationary or mobile. A UE may also be referred to as an access terminal, a terminal, a mobile station, a subscriber unit, a station, and/or the like. A UE may be a cellular phone (e.g., a smart phone) , a personal digital assistant (PDA) , a wireless modem, a wireless communication device, a handheld device, a laptop computer, a cordless phone, a wireless local loop (WLL) station, a tablet, a camera, a gaming device, a netbook, a smartbook, an ultrabook, a medical device or equipment, biometric sensors/devices, wearable devices (smart watches, smart clothing, smart glasses, smart wrist bands, smart jewelry (e.g., smart ring, smart bracelet) ) , an entertainment device (e.g., a music or video device, or a satellite radio) , a vehicular component or sensor, smart meters/sensors, industrial manufacturing equipment, a global positioning system device, or any other suitable device that is configured to communicate via a wireless or wired medium.

Some UEs may be considered machine-type communication (MTC) or evolved or enhanced machine-type communication (eMTC) UEs. MTC and eMTC UEs include, for example, robots, drones, remote devices, sensors, meters, monitors, location tags, and/or the like, that may communicate with a base station, another device (e.g., remote device) , or some other entity. A wireless node may provide, for example, connectivity for or to a network (e.g., a wide area network such as Internet or a cellular network) via a wired or wireless communication link. Some UEs may be considered Internet-of-Things (IoT) devices, and/or may be implemented as NB-IoT (narrowband internet of things) devices. Some UEs may be considered a Customer Premises Equipment (CPE) . UE 120 may be included inside a housing that houses components of UE 120, such as processor components, memory components, and/or the like. In some aspects, the processor components and the memory components may be coupled together. For example, the processor components (e.g., one or more processors) and the memory components (e.g., a memory) may be operatively coupled, communicatively coupled, electronically coupled, electrically coupled, and/or the like.

In general, any number of wireless networks may be deployed in a given geographic area. Each wireless network may support a particular RAT and may operate on one or more frequencies. A RAT may also be referred to as a radio technology, an air interface, and/or the like. A frequency may also be referred to as a carrier, a frequency channel, and/or the like. Each frequency may support a single RAT in a given geographic area in order to avoid interference between wireless networks of different RATs. In some cases, NR or 5G RAT networks may be deployed.

In some aspects, two or more UEs 120 (e.g., shown as UE 120a and UE 120e) may communicate directly using one or more sidelink channels (e.g., without using a base station 110 as an intermediary to communicate with one another) . For example, the UEs 120 may communicate using peer-to-peer (P2P) communications, device-to-device (D2D) communications, a vehicle-to-everything (V2X) protocol (e.g., which may include a vehicle-to-vehicle (V2V) protocol, a vehicle-to-infrastructure (V2I) protocol, and/or the like) , a mesh network, and/or the like. In this case, the UE 120 may perform scheduling operations, resource selection operations, and/or other operations described elsewhere herein as being performed by the base station 110.

Devices of wireless network 100 may communicate using the electromagnetic spectrum, which may be subdivided based on frequency or wavelength into various classes, bands, channels, and/or the like. For example, devices of wireless network 100 may communicate using an operating band having a first frequency range (FR1) , which may span from 410 MHz to 7.125 GHz, and/or may communicate using an operating band having a second frequency range (FR2) , which may span from 24.25 GHz to 52.6 GHz. The frequencies between FR1 and FR2 are sometimes referred to as mid-band frequencies. Although a portion of FR1 is greater than 6 GHz, FR1 is often referred to as a “sub-6 GHz” band. Similarly, FR2 is often referred to as a “millimeter wave” band despite being different from the extremely high frequency (EHF) band (30 GHz –300 GHz) which is identified by the International Telecommunications Union (ITU) as a “millimeter wave” band. Thus, unless specifically stated otherwise, it should be understood that the term “sub-6 GHz” or the like, if used herein, may broadly represent frequencies less than 6 GHz, frequencies within FR1, and/or mid-band frequencies (e.g., greater than 7.125 GHz) . Similarly, unless specifically stated otherwise, it should be understood that the term “millimeter wave” or the like, if used herein, may broadly represent frequencies within the EHF band, frequencies within FR2, and/or mid-band frequencies (e.g., less than 24.25 GHz) . It is contemplated that the frequencies included in FR1 and FR2 may be modified, and techniques described herein are applicable to those modified frequency ranges.

As indicated above, Fig. 1 is provided as an example. Other examples may differ from what is described with regard to Fig. 1.

Fig. 2 is a diagram illustrating an example 200 of a base station 110 in communication with a UE 120 in a wireless network 100, in accordance with various aspects of the present disclosure. Base station 110 may be equipped with T antennas 234a through 234t, and UE 120 may be equipped with R antennas 252a through 252r, where in general T ≥ 1 and R ≥ 1.

At base station 110, a transmit processor 220 may receive data from a data source 212 for one or more UEs, select one or more modulation and coding schemes (MCS) for each UE based at least in part on channel quality indicators (CQIs) received from the UE, process (e.g., encode and modulate) the data for each UE based at least in part on the MCS (s) selected for the UE, and provide data symbols for all UEs. Transmit processor 220 may also process system information (e.g., for semi-static resource partitioning information (SRPI) and/or the like) and control information (e.g., CQI requests, grants, upper layer signaling, and/or the like) and provide overhead symbols and control symbols. Transmit processor 220 may also generate reference symbols for reference signals (e.g., a cell-specific reference signal (CRS) , a demodulation reference signal (DMRS) , and/or the like) and synchronization signals (e.g., the primary synchronization signal (PSS) and secondary synchronization signal (SSS) ) . A transmit (TX) multiple-input multiple-output (MIMO) processor 230 may perform spatial processing (e.g., precoding) on the data symbols, the control symbols, the overhead symbols, and/or the reference symbols, if applicable, and may provide T output symbol streams to T modulators (MODs) 232a through 232t. Each modulator 232 may process a respective output symbol stream (e.g., for OFDM and/or the like) to obtain an output sample stream. Each modulator 232 may further process (e.g., convert to analog, amplify, filter, and upconvert) the output sample stream to obtain a downlink signal. T downlink signals from modulators 232a through 232t may be transmitted via T antennas 234a through 234t, respectively.

At UE 120, antennas 252a through 252r may receive the downlink signals from base station 110 and/or other base stations and may provide received signals to demodulators (DEMODs) 254a through 254r, respectively. Each demodulator 254 may condition (e.g., filter, amplify, downconvert, and digitize) a received signal to obtain input samples. Each demodulator 254 may further process the input samples (e.g., for OFDM and/or the like) to obtain received symbols. A MIMO detector 256 may obtain received symbols from all R demodulators 254a through 254r, perform MIMO detection on the received symbols if applicable, and provide detected symbols. A receive processor 258 may process (e.g., demodulate and decode) the detected symbols, provide decoded data for UE 120 to a data sink 260, and provide decoded control information and system information to a controller/processor 280. The term "controller/processor" may refer to one or more controllers, one or more processors, or a combination thereof. A channel processor may determine reference signal received power (RSRP) , received signal strength indicator (RSSI) , reference signal received quality (RSRQ) , channel quality indicator (CQI) , and/or the like. In some aspects, one or more components of UE 120 may be included in a housing 284.

Network controller 130 may include communication unit 294, controller/processor 290, and memory 292. Network controller 130 may include, for example, one or more devices in a core network. Network controller 130 may communicate with base station 110 via communication unit 294.

On the uplink, at UE 120, a transmit processor 264 may receive and process data from a data source 262 and control information (e.g., for reports that include RSRP, RSSI, RSRQ, CQI, and/or the like) from controller/processor 280. Transmit processor 264 may also generate reference symbols for one or more reference signals. The symbols from transmit processor 264 may be precoded by a TX MIMO processor 266 if applicable, further processed by modulators 254a through 254r (e.g., for DFT-s-OFDM, CP-OFDM, and/or the like) , and transmitted to base station 110. In some aspects, the UE 120 includes a transceiver. The transceiver may include any combination of antenna (s) 252, modulators and/or demodulators 254, MIMO detector 256, receive processor 258, transmit processor 264, and/or TX MIMO processor 266. The transceiver may be used by a processor (e.g., controller/processor 280) and memory 282 to perform aspects of any of the methods described herein, for example, as described with reference to Figs. 4-6.

At base station 110, the uplink signals from UE 120 and other UEs may be received by antennas 234, processed by demodulators 232, detected by a MIMO detector 236 if applicable, and further processed by a receive processor 238 to obtain decoded data and control information sent by UE 120. Receive processor 238 may provide the decoded data to a data sink 239 and the decoded control information to controller/processor 240. Base station 110 may include communication unit 244 and communicate to network controller 130 via communication unit 244. Base station 110 may include a scheduler 246 to schedule UEs 120 for downlink and/or uplink communications. In some aspects, the base station 110 includes a transceiver. The transceiver may include any combination of antenna (s) 234, modulators and/or demodulators 232, MIMO detector 236, receive processor 238, transmit processor 220, and/or TX MIMO processor 230. The transceiver may be used by a processor (e.g., controller/processor 240) and memory 242 to perform aspects of any of the methods described herein, for example, as described with reference to Figs. 4-6.

Controller/processor 240 of base station 110, controller/processor 280 of UE 120, and/or any other component (s) of Fig. 2 may perform one or more techniques associated with preprocessing operations for sensor data, as described in more detail elsewhere herein. For example, controller/processor 240 of base station 110, controller/processor 280 of UE 120, and/or any other component (s) of Fig. 2 may perform or direct operations of, for example, process 500 of Fig. 5, process 600 of Fig. 6, and/or other processes as described herein.

Memories

242 and 282 may store data and program codes for base station 110 and UE 120, respectively. In some aspects, memory 242 and/or memory 282 may include a non-transitory computer-readable medium storing one or more instructions (e.g., code, program code, and/or the like) for wireless communication. For example, the one or more instructions, when executed (e.g., directly, or after compiling, converting, interpreting, and/or the like) by one or more processors of the base station 110 and/or the UE 120, may cause the one or more processors, the UE 120, and/or the base station 110 to perform or direct operations of, for example, process 500 of Fig. 5, process 600 of Fig. 6, and/or other processes as described herein. In some aspects, executing instructions may include running the instructions, converting the instructions, compiling the instructions, interpreting the instructions, and/or the like.

In some aspects, the UE includes means for transmitting an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and/or means for performing, in connection with the indication of the capability, a sensor data feedback operation on the sensor data before transmission of the sensor data feedback. The means for the UE to perform operations described herein may include, for example, antenna 252, demodulator 254, MIMO detector 256, receive processor 258, transmit processor 264, TX MIMO processor 266, modulator 254, controller/processor 280, and/or memory 282.

In some aspects, the UE includes means for receiving an indication to perform the preprocessing operation on the sensor data, and performance of the sensor data feedback operation is in connection with reception of the indication to perform the preprocessing operation.

In some aspects, the UE includes means for receiving the indication to perform the preprocessing operation via radio resource control (RRC) signaling that includes information elements of sensor location information; or means for receiving the indication to perform the preprocessing operation via RRC signaling that is independent from information elements of sensor location information.

In some aspects, the UE includes means for determining sensor information, means for performing preprocessing on the sensor data to generate sensor data feedback, and means for transmitting the sensor data feedback.

In some aspects, the UE includes means for receiving an indication of the specific features to identify within the sensor data.

In some aspects, the UE includes means for receiving an indication of one or more parameters for the one or more machine learning models.

In some aspects, the UE includes means for receiving a request for the indication of the capability to perform the preprocessing operation, and transmission of the indication of the capability to perform the preprocessing operation is in connection with reception of the request.

In some aspects, the base station includes means for receiving, from a UE, an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and/or means for receiving, from the UE and in connection with the indication of the capability, sensor data feedback that is based at least in part on performance of the preprocessing operation on the sensor data. The means for the base station to perform operations described herein may include, for example, transmit processor 220, TX MIMO processor 230, modulator 232, antenna 234, demodulator 232, MIMO detector 236, receive processor 238, controller/processor 240, memory 242, and/or scheduler 246.

In some aspects, the base station includes means for transmitting, to the UE, an indication to perform the preprocessing operation on the sensor data.

In some aspects, the base station includes means for transmitting the indication to perform the preprocessing operation via RRC signaling that includes information elements of sensor location information; or means for transmitting the indication to perform the preprocessing operation via RRC signaling that is independent from information elements of sensor location information.

In some aspects, the base station includes means for transmitting an indication of the specific features to identify within the sensor data.

In some aspects, the base station includes means for transmitting an indication of one or more parameters for the one or more machine learning models.

In some aspects, the base station includes means for transmitting a request for the indication of the capability to perform the preprocessing operation, and reception of the indication of the capability to perform the preprocessing operation is in connection with transmission of the request.

While blocks in Fig. 2 are illustrated as distinct components, the functions described above with respect to the blocks may be implemented in a single hardware, software, or combination component or in various combinations of components. For example, the functions described with respect to the transmit processor 264, the receive processor 258, and/or the TX MIMO processor 266 may be performed by or under the control of controller/processor 280.

As indicated above, Fig. 2 is provided as an example. Other examples may differ from what is described with regard to Fig. 2.

Fig. 3 is a diagram illustrating an example 300 of reporting sensor measurements, in accordance with various aspects of the present disclosure. The UE and the base station may be part of a wireless network. The UE may be configured (e.g., with components) to obtain sensor measurements and to report the sensor measurements to the base station.

As shown by reference number 305, the base station and the UE may configure the UE sensor capability.

As shown by reference number 310, the UE may receive, and the base station may transmit, information to configure one or more sensor measurements by the UE. For example, the information may indicate a type of one or more sensor measurements to obtain, a frequency for obtaining the one or more sensor measurements, and/or one or more resources for reporting the one or more sensor measurements, among other examples. The information may include one or more sensor location information elements (sensor location information IEs) within, for example, RRC signaling.

As shown by reference number 315, the UE may perform one or more sensor measurements. For example, the UE may use one or more components of the UE to perform the one or more sensor measurements. The one or more components of the UE may include, for example, a global positioning system (GPS) component, a proximity sensor, an accelerometer, a gyroscope, a digital compass, a radio detection and ranging component, a light detection and ranging component, and/or a camera, among other examples.

As shown by reference number 320, the UE may transmit, and the base station may receive, a sensor measurement report. For example, the sensor measurement report may include raw sensor data obtained by the UE.

As shown by reference number 325, the base station may determine positioning information based at least in part on the sensor measurement report and/or the raw sensor data.

As indicated above, Fig. 3 is provided as an example. Other examples may differ from what is described with regard to Fig. 3.

Although sensor data is beneficial to a network, transmission of raw sensor data over the air may consume network resources and/or may create privacy concerns, among other challenges. For example, if the UE is configured with several components (e.g., sensors) for obtaining sensor data, and the UE periodically transmits the sensor data over the air, the sensor data may consume significant network resources.

In some aspects described herein, a UE may be configured to perform a preprocessing operation on sensor data before transmission as sensor data feedback. In some aspects, the UE may be configured to receive an indication of whether to perform the preprocessing operation on subsequent sensor data or to transmit the subsequent sensor data as raw sensor data.

In some aspects, the preprocessing operation may include an extraction operation to identify features within the sensor data for transmission as sensor data feedback and/or a compression operation for compressing the sensor data into sensor data feedback, among other examples. In some aspects, the preprocessing operation may include application of one or more machine learning models to, for example, identify the one or more features (e.g., as part an extraction operation) and/or compress the sensor data (e.g., as part of a compression operation) , among other examples.

Based at least in part on the UE being configured to perform the preprocessing operation on sensor data before transmission as sensor data feedback, the UE may conserve network resources that may have otherwise been used to support transmission of raw sensor data as the sensor data feedback.

Fig. 4 is a diagram illustrating an example 400 associated with preprocessing operations for sensor data, in accordance with various aspects of the present disclosure. As shown in Fig. 4, a UE (e.g., UE 120) may communicate with a base station (e.g., base station 110) . The UE and the base station may be part of a wireless network (e.g., wireless network 100) . In some aspects, the UE may be configured with one or more components (e.g., sensors) for obtaining sensor data.

As shown by reference number 405, the UE may receive, and the base station may transmit, configuration information. In some aspects, the UE may receive configuration information from another device (e.g., from another base station and/or another UE) and/or a communication standard, among other examples. In some aspects, the UE may receive the configuration information via one or more of RRC signaling, medium access control (MAC) signaling (e.g., MAC control elements (MAC CEs) ) , and/or the like. In some aspects, the configuration information may include an indication of one or more configuration parameters (e.g., already known to the UE) for selection by the UE, explicit configuration information for the UE to use to configure the UE, and/or the like.

In some aspects, the configuration information may indicate that the UE is to transmit an indication of a capability to perform preprocessing on sensor data. In some aspects, the configuration information may indicate that the UE is to transmit an indication of types of sensor data that the UE is configured to obtain. In some aspects, the configuration information may indicate that the UE is to generate one or more machine learning models to use for performing preprocessing on the sensor data. The configuration information may indicate that the UE is to configure the one or more machine learning models based at least in part on one or more parameters indicated by the base station. In some aspects, the configuration information may provide a configuration for receiving an indication to perform the preprocessing operations of the sensor data. In some aspects, the configuration information may provide a configuration for transmitting the sensor data feedback after performing the preprocessing operation.

As shown by reference number 410, the UE may configure the UE. In some aspects, the UE may configure the UE based at least in part on the configuration information. In some aspects, the UE may be configured to perform one or more operations described herein.

As shown by reference number 415, the UE may receive, and the base station may transmit, a request for an indication of a capability to perform a preprocessing operation on sensor data. In some aspects, the capability of the UE may be based at least in part on an operation mode of the UE (e.g., a power saving mode) , one or more sensor components of the UE, and/or one or more sensor components accessible to the UE (e.g., a device connected to the UE such as a wearable device among other examples) , among other examples. In some aspects, the base station may transmit the request within one or more information elements associated with sensor-based positioning and/or a configuration for performing sensor-based positioning. In some aspects, the request may be included in a message with one or more associated information elements, such as, for example, Sensor-RequestCapabilities that is used by a location server associated with the base station to request capabilities for sensor-based methods from a target device (e.g., the UE) ) .

As shown by reference number 420, the UE may transmit, and the base station may receive, an indication of the capability to perform the preprocessing operation on sensor data. For example, the UE may transmit an indication of a capability to perform a preprocessing operation on sensor data before transmission as sensor data feedback. In some aspects, the indication of the capability may be included in a message with one or more other information elements, such as Sensor-ProvideCapabilities that is used by a target device (e.g., the UE) to provide capabilities for sensor-based methods to the location server.

In some aspects, the indication of the capability to perform the preprocessing operation may include an indication of support for the preprocessing operation, an indication of one or more parameters associated with sensor components of the UE, and/or an indication of one or more parameters associated with one or more machine learning models configured for use in the preprocessing operation, among other examples.

In some aspects, the UE may provide the indication with one or more additional information elements as follows:

In some aspects, the UE may provide the indication as an independent report as follows:

In some aspects, the UE may transmit the indication of the capability to perform the preprocessing operation in connection with reception of the request for the indication. In some aspects, the UE may transmit the indication of the capability independently from (e.g., in absence of) a request for the indication. For example, the UE may transmit the indication of the capability as part of an initial connection to the base station and/or within a capabilities report, among other examples.

In some aspects, the request for the indication and/or the indication itself may be based at least in part on a general capability to perform the preprocessing operation and/or a capability to perform the preprocessing operation in one or more scenarios, among other examples. For example, the request for the indication may identify the one or more scenarios and/or the report may indicate capability to perform the preprocessing operation in the one or more scenarios.

As shown by reference number 425, the UE may receive, and the base station may transmit, an indication to perform a preprocessing operation on sensor data and/or a configuration of the preprocessing operation. In some aspects, the UE may receive an indication of whether to perform the preprocessing operation or to transmit raw sensor data. In some aspects, the UE may receive the indication via RRC signaling. For example, the RRC signaling may include one or more elements that indicate a mode for sensor data feedback, with the mode indicating whether to perform the preprocessing operation or to transmit raw sensor data

In some aspects, the base station may transmit, and the UE may receive, the indication to perform the preprocessing operation based at least in part on a capability of a base station configured to receive the sensor data feedback, for example, after the UE performs the preprocessing operation.

In some aspects, the base station may transmit the indication to perform the preprocessing operation using independent signaling (e.g., RRC signaling) as follows:

Sensor-based-solution-measurement : : = SEQUENCE {

sensor-solutions-mode INTEGER (0, 1) OPTIONAL,

...

}

In some aspects, the base station may transmit the indication to perform the preprocessing operation using signaling (e.g., RRC signaling) that includes information elements of sensor location information as follows:

In some aspects, the base station may determine that the UE is to perform the preprocessing operation based at least in part on one or more capabilities of the base station. For example, the base station may determine capabilities of the base station to support receiving the sensor data feedback that was preprocessed by the UE, receiving the sensor data feedback with information associated with one or more components of, or accessible to, the UE, and/or configuring the one or more machine learning models of the UE for performing the preprocessing.

As shown by reference number 430, the UE may obtain sensor data. For example, the UE may obtain sensor data from a component of the UE and/or one or more accessible components. The sensor data may include, for example, GPS data, proximity sensor data, accelerometer data, gyroscope data, digital compass data, radio detection and ranging data, light detection and ranging data, and/or camera data, among other examples.

As shown by reference number 435, the UE may perform preprocessing on the sensor data. In some aspects, the UE may perform a sensor data feedback operation on the sensor data before transmission of the sensor data feedback based at least in part on, and/or in connection with, the indication of the capability, the indication to perform the preprocessing operation, and/or the configuration of the preprocessing operation, among other examples.

In some aspects, the preprocessing operation may include obtaining the sensor data (e.g., as discussed with reference to reference number 430) , performing preprocessing on the sensor data to generate sensor data feedback, and/or transmitting the sensor data feedback, among other examples.

In some aspects, the preprocessing operation may include one or more extraction operations and/or one or more compression operations, among other examples. The UE may use the one or more extraction operations to identify features within the sensor data for transmission as the sensor data feedback. For example, the UE may identify features associated with positioning and may discard sensor data associated with other features. In some aspects, the UE may determine the features to identify within the sensor data based at least in part on an indication from, for example, the base station and/or within configuration information (e.g., RRC signaling and/or one or more MAC CEs, among other examples) . In some aspects, the features within the sensor data may be specific features within the sensor data (e.g., requested and/or configured features) or general features within the sensor data (e.g., overall features) . In some aspects, the UE may use the one or more compression operations to compress the data and/or reduce a payload size of the sensor data feedback.

In some aspects, the UE may use one or more machine learning models such as, for example, one or more neural networks. For example, the UE may use one or more neural networks with one or more convolution layers, fully connected layers, and/or residual neural network layers, among other examples. The one or more machine learning models may be configured with a structure and/or weights, among other examples, that control an encoding of input data (e.g., the sensor data) . In some aspects, the UE may configure the one or more machine learning models based at least in part on information (e.g., configuration information, MAC layer signaling, and/or RRC signaling, among other examples) from the base station or another device (e.g., parameters for the one or more machine learning models) . In some aspects, the base station may transmit, and the UE may receive, one or more updates to the one or more machine learning models (e.g., based at least in part on updated conditions) .

For example, the UE may receive the information for, and/or updates to, the one or more machine learning models using a sensor mode indication in, for example, RRC signaling. For example, the RRC signaling may include a message such as:

Sensor-ML-mode2-model : : = SEQUENCE {

Model-structure ENUMERATED (s1, s2, …) OPTIONAL

Model-weights ENUMERATED (w1, w2, …) OPTIONAL

Model-update INTEGER (0, 1) OPTIONAL

……

}

The one or more machine learning models may extract one or more features of the input data and/or compress the input data. In some aspects, the UE may be configured with one or more machine learning models associated with different scenarios. For example, the UE may be configured with a first set of one or more machine learning models associated with a positioning scenario and/or a second set of one or more machine learning models associated with a high mobility scenario. In some aspects, the first set of one or more machine learning models may be configured with a different structure and/or different weights than the second set of one or more machine learning models.

As shown by reference number 440, the UE may transmit, and the base station may receive, the sensor feedback data. For example, the UE may transmit the sensor data feedback to indicate one or more general features of the sensor data and/or one or more specific features of the sensor data, as described herein.

As shown by reference number 445, the base station may determine positioning information. For example, the base station may determine positioning information associated with the UE and/or one or more devices detected by the UE. The base station may determine one or more parameters for subsequent communications with the UE based at least in part on the position information. In some aspects, the base station may apply a machine learning model to the sensor feedback data to decompress and/or determine features of the sensor data

Based at least in part on the UE performing the preprocessing operation on sensor data before transmission as sensor data feedback, the UE may conserve network resources that may have otherwise been used to support transmission of raw sensor data as the sensor data feedback.

As indicated above, Fig. 4 is provided as an example. Other examples may differ from what is described with regard to Fig. 4.

Fig. 5 is a diagram illustrating an example process 500 performed, for example, by a UE, in accordance with various aspects of the present disclosure. Example process 500 is an example where the UE (e.g., UE 120) performs operations associated with preprocessing operations for sensor data.

As shown in Fig. 5, in some aspects, process 500 may include transmitting an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback (block 510) . For example, the UE (e.g., using transmission component 704, depicted in Fig. 7) may transmit an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback, as described above.

As further shown in Fig. 5, in some aspects, process 500 may include performing, in connection with the indication of the capability, a sensor data feedback operation on the sensor data before transmission of the sensor data feedback (block 520) . For example, the UE (e.g., using sensor data operation component 708, depicted in Fig. 7) may perform, in connection with the indication of the capability, a sensor data feedback operation on the sensor data before transmission of the sensor data feedback, as described above.

Process 500 may include additional aspects, such as any single aspect or any combination of aspects described below and/or in connection with one or more other processes described elsewhere herein.

In a first aspect, process 500 includes receiving an indication to perform the preprocessing operation on the sensor data, wherein performance of the sensor data feedback operation is in connection with reception of the indication to perform the preprocessing operation.

In a second aspect, alone or in combination with the first aspect, reception of the indication to perform the preprocessing operation comprises receiving the indication to perform the preprocessing operation via RRC signaling that includes information elements of sensor location information or receiving the indication to perform the preprocessing operation via RRC signaling that is independent from information elements of sensor location information.

In a third aspect, alone or in combination with one or more of the first and second aspects, reception of the indication to perform the preprocessing operation is based at least in part on a capability of a base station configured to receive the sensor data feedback.

In a fourth aspect, alone or in combination with one or more of the first through third aspects, performance of the sensor data feedback operation comprises determining sensor information, performing preprocessing on the sensor data to generate sensor data feedback, and transmitting the sensor data feedback.

In a fifth aspect, alone or in combination with one or more of the first through fourth aspects, the preprocessing operation comprises one or more of an extraction operation to identify features within the sensor data for transmission as the sensor data feedback, or a compression operation for compressing the sensor data into sensor data feedback.

In a sixth aspect, alone or in combination with one or more of the first through fifth aspects, the features within the sensor data comprise specific features within the sensor data, or general features within the sensor data.

In a seventh aspect, alone or in combination with one or more of the first through sixth aspects, process 500 includes receiving an indication of the specific features to identify within the sensor data.

In an eighth aspect, alone or in combination with one or more of the first through seventh aspects, one or more of the extraction operation or the compression operation comprises application of one or more machine learning models.

In a ninth aspect, alone or in combination with one or more of the first through eighth aspects, process 500 includes receiving an indication of one or more parameters for the one or more machine learning models.

In a tenth aspect, alone or in combination with one or more of the first through ninth aspects, the capability to perform the preprocessing operation on the sensor data is based at least in part on one or more of an operation mode of the UE, one or more sensor components of the UE, or one or more sensor components accessible to the UE.

In an eleventh aspect, alone or in combination with one or more of the first through tenth aspects, the indication of the capability to perform the preprocessing operation comprises one or more of an indication of support for the preprocessing operation, an indication of one or more parameters associated with sensor components of the UE, or an indication of one or more parameters associated with one or more machine learning models configured for use in the preprocessing operation.

In a twelfth aspect, alone or in combination with one or more of the first through eleventh aspects, process 500 includes receiving a request for the indication of the capability to perform the preprocessing operation, wherein transmission of the indication of the capability to perform the preprocessing operation is in connection with reception of the request.

In a thirteenth aspect, alone or in combination with one or more of the first through twelfth aspects, process 500 includes a general capability to perform the preprocessing operation, or a capability to perform the preprocessing operation in an identified scenario.

Although Fig. 5 shows example blocks of process 500, in some aspects, process 500 may include additional blocks, fewer blocks, different blocks, or differently arranged blocks than those depicted in Fig. 5. Additionally, or alternatively, two or more of the blocks of process 500 may be performed in parallel.

Fig. 6 is a diagram illustrating an example process 600 performed, for example, by a base station, in accordance with various aspects of the present disclosure. Example process 600 is an example where the base station (e.g., base station 110) performs operations associated with preprocessing operations for sensor data.

As shown in Fig. 6, in some aspects, process 600 may include receiving, from a UE, an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback (block 610) . For example, the base station (e.g., using reception component 802, depicted in Fig. 8) may receive, from a UE, an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback, as described above.

As further shown in Fig. 6, in some aspects, process 600 may include receiving, from the UE and in connection with the indication of the capability, sensor data feedback that is based at least in part on performance of the preprocessing operation on the sensor data (block 620) . For example, the base station (e.g., using reception component 802, depicted in Fig. 8) may receive, from the UE and in connection with the indication of the capability, sensor data feedback that is based at least in part on performance of the preprocessing operation on the sensor data, as described above.

Process 600 may include additional aspects, such as any single aspect or any combination of aspects described below and/or in connection with one or more other processes described elsewhere herein.

In a first aspect, process 600 includes transmitting, to the UE, an indication to perform the preprocessing operation on the sensor data.

In a second aspect, alone or in combination with the first aspect, transmission of the indication to perform the preprocessing operation comprises transmitting the indication to perform the preprocessing operation via RRC signaling that includes information elements of sensor location information or transmitting the indication to perform the preprocessing operation via RRC signaling that is independent from information elements of sensor location information.

In a third aspect, alone or in combination with one or more of the first and second aspects, transmission of the indication to perform the preprocessing operation is based at least in part on a capability of the base station to receive the sensor data feedback.

In a fourth aspect, alone or in combination with one or more of the first through third aspects, the preprocessing operation comprises one or more of an extraction operation to identify features within the sensor data for transmission as the sensor data feedback, or a compression operation for compressing the sensor data into sensor data feedback.

In a fifth aspect, alone or in combination with one or more of the first through fourth aspects, the features within the sensor data comprise specific features within the sensor data, or general features within the sensor data.

In a sixth aspect, alone or in combination with one or more of the first through fifth aspects, process 600 includes transmitting an indication of the specific features to identify within the sensor data.

In a seventh aspect, alone or in combination with one or more of the first through sixth aspects, one or more of the extraction operation or the compression operation comprises application of one or more machine learning models.

In an eighth aspect, alone or in combination with one or more of the first through seventh aspects, process 600 includes transmitting an indication of one or more parameters for the one or more machine learning models.

In a ninth aspect, alone or in combination with one or more of the first through eighth aspects, the capability to perform the preprocessing operation on the sensor data is based at least in part on one or more of an operation mode of the UE, one or more sensor components of the UE, or one or more sensor components accessible to the UE.

In a tenth aspect, alone or in combination with one or more of the first through ninth aspects, the indication of the capability to perform the preprocessing operation comprises one or more of an indication of support for the preprocessing operation, an indication of one or more parameters associated with sensor components of the UE, or an indication of one or more parameters associated with one or more machine learning models configured for use in the preprocessing operation.

In an eleventh aspect, alone or in combination with one or more of the first through tenth aspects, process 600 includes transmitting a request for the indication of the capability to perform the preprocessing operation, wherein reception of the indication of the capability to perform the preprocessing operation is in connection with transmission of the request.

In a twelfth aspect, alone or in combination with one or more of the first through eleventh aspects, one or more of the request or the indication of the capability to perform the preprocessing operation are based at least in part on a general capability to perform the preprocessing operation, or a capability to perform the preprocessing operation in an identified scenario.

Although Fig. 6 shows example blocks of process 600, in some aspects, process 600 may include additional blocks, fewer blocks, different blocks, or differently arranged blocks than those depicted in Fig. 6. Additionally, or alternatively, two or more of the blocks of process 600 may be performed in parallel.

Fig. 7 is a block diagram of an example apparatus 700 for wireless communication. The apparatus 700 may be a UE, or a UE may include the apparatus 700. In some aspects, the apparatus 700 includes a reception component 702 and a transmission component 704, which may be in communication with one another (for example, via one or more buses and/or one or more other components) . As shown, the apparatus 700 may communicate with another apparatus 706 (such as a UE, a base station, or another wireless communication device) using the reception component 702 and the transmission component 704. As further shown, the apparatus 700 may include a sensor data operation component 708, among other examples.

In some aspects, the apparatus 700 may be configured to perform one or more operations described herein in connection with Fig. 4. Additionally, or alternatively, the apparatus 700 may be configured to perform one or more processes described herein, such as process 500 of Fig. 5. In some aspects, the apparatus 700 and/or one or more components shown in Fig. 7 may include one or more components of the UE described above in connection with Fig. 2. Additionally, or alternatively, one or more components shown in Fig. 7 may be implemented within one or more components described above in connection with Fig. 2. Additionally, or alternatively, one or more components of the set of components may be implemented at least in part as software stored in a memory. For example, a component (or a portion of a component) may be implemented as instructions or code stored in a non-transitory computer-readable medium and executable by a controller or a processor to perform the functions or operations of the component.

The reception component 702 may receive communications, such as reference signals, control information, data communications, or a combination thereof, from the apparatus 706. The reception component 702 may provide received communications to one or more other components of the apparatus 700. In some aspects, the reception component 702 may perform signal processing on the received communications (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, de-mapping, equalization, interference cancellation, or decoding, among other examples) , and may provide the processed signals to the one or more other components of the apparatus 706. In some aspects, the reception component 702 may include one or more antennas, a demodulator, a MIMO detector, a receive processor, a controller/processor, a memory, or a combination thereof, of the UE described above in connection with Fig. 2.

The transmission component 704 may transmit communications, such as reference signals, control information, data communications, or a combination thereof, to the apparatus 706. In some aspects, one or more other components of the apparatus 706 may generate communications and may provide the generated communications to the transmission component 704 for transmission to the apparatus 706. In some aspects, the transmission component 704 may perform signal processing on the generated communications (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, among other examples) , and may transmit the processed signals to the apparatus 706. In some aspects, the transmission component 704 may include one or more antennas, a modulator, a transmit MIMO processor, a transmit processor, a controller/processor, a memory, or a combination thereof, of the UE described above in connection with Fig. 2. In some aspects, the transmission component 704 may be collocated with the reception component 702 in a transceiver.

The transmission component 704 may transmit an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback. The sensor data operation component 708 may perform, in connection with the indication of the capability, a sensor data feedback operation on the sensor data before transmission of the sensor data feedback. In some aspects, the sensor data operation component 708 may include one or more antennas, a demodulator, a MIMO detector, a receive processor, a modulator, a transmit MIMO processor, a transmit processor, a controller/processor, a memory, or a combination thereof, of the UE described above in connection with Fig. 2.

The reception component 702 may receive an indication to perform the preprocessing operation on the sensor data wherein performance of the sensor data feedback operation is in connection with reception of the indication to perform the preprocessing operation.

The reception component 702 may receive an indication of the specific features to identify within the sensor data.

The reception component 702 may receive an indication of one or more parameters for the one or more machine learning models.

The reception component 702 may receive a request for the indication of the capability to perform the preprocessing operation wherein transmission of the indication of the capability to perform the preprocessing operation is in connection with reception of the request.

The number and arrangement of components shown in Fig. 7 are provided as an example. In practice, there may be additional components, fewer components, different components, or differently arranged components than those shown in Fig. 7. Furthermore, two or more components shown in Fig. 7 may be implemented within a single component, or a single component shown in Fig. 7 may be implemented as multiple, distributed components. Additionally, or alternatively, a set of (one or more) components shown in Fig. 7 may perform one or more functions described as being performed by another set of components shown in Fig. 7.

Fig. 8 is a block diagram of an example apparatus 800 for wireless communication. The apparatus 800 may be a base station, or a base station may include the apparatus 800. In some aspects, the apparatus 800 includes a reception component 802 and a transmission component 804, which may be in communication with one another (for example, via one or more buses and/or one or more other components) . As shown, the apparatus 800 may communicate with another apparatus 806 (such as a UE, a base station, or another wireless communication device) using the reception component 802 and the transmission component 804. As further shown, the apparatus 800 may include a sensor data operation component 808.

In some aspects, the apparatus 800 may be configured to perform one or more operations described herein in connection with Fig. 4. Additionally, or alternatively, the apparatus 800 may be configured to perform one or more processes described herein, such as process 600 of Fig. 6. In some aspects, the apparatus 800 and/or one or more components shown in Fig. 8 may include one or more components of the base station described above in connection with Fig. 2. Additionally, or alternatively, one or more components shown in Fig. 8 may be implemented within one or more components described above in connection with Fig. 2. Additionally, or alternatively, one or more components of the set of components may be implemented at least in part as software stored in a memory. For example, a component (or a portion of a component) may be implemented as instructions or code stored in a non-transitory computer-readable medium and executable by a controller or a processor to perform the functions or operations of the component.

The reception component 802 may receive communications, such as reference signals, control information, data communications, or a combination thereof, from the apparatus 806. The reception component 802 may provide received communications to one or more other components of the apparatus 800. In some aspects, the reception component 802 may perform signal processing on the received communications (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, de-mapping, equalization, interference cancellation, or decoding, among other examples) , and may provide the processed signals to the one or more other components of the apparatus 806. In some aspects, the reception component 802 may include one or more antennas, a demodulator, a MIMO detector, a receive processor, a controller/processor, a memory, or a combination thereof, of the base station described above in connection with Fig. 2.

The transmission component 804 may transmit communications, such as reference signals, control information, data communications, or a combination thereof, to the apparatus 806. In some aspects, one or more other components of the apparatus 806 may generate communications and may provide the generated communications to the transmission component 804 for transmission to the apparatus 806. In some aspects, the transmission component 804 may perform signal processing on the generated communications (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, among other examples) , and may transmit the processed signals to the apparatus 806. In some aspects, the transmission component 804 may include one or more antennas, a modulator, a transmit MIMO processor, a transmit processor, a controller/processor, a memory, or a combination thereof, of the base station described above in connection with Fig. 2. In some aspects, the transmission component 804 may be collocated with the reception component 802 in a transceiver.

The reception component 802 may receive, from a UE, an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback. The reception component 802 may receive, from the UE and in connection with the indication of the capability, sensor data feedback that is based at least in part on performance of the preprocessing operation on the sensor data.

The transmission component 804 may transmit, to the UE, an indication to perform the preprocessing operation on the sensor data.

The transmission component 804 may transmit an indication of the specific features to identify within the sensor data.

The transmission component 804 may transmit an indication of one or more parameters for the one or more machine learning models.

The transmission component 804 may transmit a request for the indication of the capability to perform the preprocessing operation wherein reception of the indication of the capability to perform the preprocessing operation is in connection with transmission of the request.

The sensor data operation component 808 may perform one or more sensor data operations to determine positioning information. For example the sensor data operation component 808 may apply one or more machine learning models to decode the sensor data feedback, extract the sensor data, and/or extract one or more features of the sensor data and/or sensor data feedback, among other examples. In some aspects, the sensor data operation component 808 may include one or more antennas, a demodulator, a MIMO detector, a receive processor, a modulator, a transmit MIMO processor, a transmit processor, a controller/processor, a memory, or a combination thereof, of the UE described above in connection with Fig. 2.

The number and arrangement of components shown in Fig. 8 are provided as an example. In practice, there may be additional components, fewer components, different components, or differently arranged components than those shown in Fig. 8. Furthermore, two or more components shown in Fig. 8 may be implemented within a single component, or a single component shown in Fig. 8 may be implemented as multiple, distributed components. Additionally, or alternatively, a set of (one or more) components shown in Fig. 8 may perform one or more functions described as being performed by another set of components shown in Fig. 8.

The foregoing disclosure provides illustration and description, but is not intended to be exhaustive or to limit the aspects to the precise form disclosed. Modifications and variations may be made in light of the above disclosure or may be acquired from practice of the aspects.

As used herein, the term “component” is intended to be broadly construed as hardware, firmware, and/or a combination of hardware and software. As used herein, a processor is implemented in hardware, firmware, and/or a combination of hardware and software. It will be apparent that systems and/or methods described herein may be implemented in different forms of hardware, firmware, and/or a combination of hardware and software. The actual specialized control hardware or software code used to implement these systems and/or methods is not limiting of the aspects. Thus, the operation and behavior of the systems and/or methods were described herein without reference to specific software code-it being understood that software and hardware can be designed to implement the systems and/or methods based, at least in part, on the description herein.

As used herein, satisfying a threshold may, depending on the context, refer to a value being greater than the threshold, greater than or equal to the threshold, less than the threshold, less than or equal to the threshold, equal to the threshold, not equal to the threshold, and/or the like.

Even though particular combinations of features are recited in the claims and/or disclosed in the specification, these combinations are not intended to limit the disclosure of various aspects. In fact, many of these features may be combined in ways not specifically recited in the claims and/or disclosed in the specification. Although each dependent claim listed below may directly depend on only one claim, the disclosure of various aspects includes each dependent claim in combination with every other claim in the claim set. A phrase referring to “at least one of” a list of items refers to any combination of those items, including single members. As an example, “at least one of: a, b, or c” is intended to cover a, b, c, a-b, a-c, b-c, and a-b-c, as well as any combination with multiples of the same element (e.g., a-a, a-a-a, a-a-b, a-a-c, a-b-b, a-c-c, b-b, b-b-b, b-b-c, c-c, and c-c-c or any other ordering of a, b, and c) .

No element, act, or instruction used herein should be construed as critical or essential unless explicitly described as such. Also, as used herein, the articles “a” and “an” are intended to include one or more items and may be used interchangeably with “one or more. ” Further, as used herein, the article “the” is intended to include one or more items referenced in connection with the article “the” and may be used interchangeably with “the one or more. ” Furthermore, as used herein, the terms “set” and “group” are intended to include one or more items (e.g., related items, unrelated items, a combination of related and unrelated items, and/or the like) , and may be used interchangeably with “one or more. ” Where only one item is intended, the phrase “only one” or similar language is used. Also, as used herein, the terms “has, ” “have, ” “having, ” and/or the like are intended to be open-ended terms. Further, the phrase “based on” is intended to mean “based, at least in part, on” unless explicitly stated otherwise. Also, as used herein, the term “or” is intended to be inclusive when used in a series and may be used interchangeably with “and/or, ” unless explicitly stated otherwise (e.g., if used in combination with “either” or “only one of” ) .

Claims

A method of wireless communication performed by a user equipment (UE) , comprising:

transmitting an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and

performing, in connection with the indication of the capability, a sensor data feedback operation on the sensor data before transmission of the sensor data feedback.
The method of claim 1, further comprising:

receiving an indication to perform the preprocessing operation on the sensor data,

wherein performance of the sensor data feedback operation is in connection with reception of the indication to perform the preprocessing operation.
The method of claim 2, wherein reception of the indication to perform the preprocessing operation comprises:

receiving the indication to perform the preprocessing operation via radio resource control signaling that includes information elements of sensor location information; or

receiving the indication to perform the preprocessing operation via radio resource control signaling that is independent from information elements of sensor location information.
The method of claim 2, wherein reception of the indication to perform the preprocessing operation is based at least in part on a capability of a base station configured to receive the sensor data feedback.
The method of claim 1, wherein performance of the sensor data feedback operation comprises:

determining sensor information,

performing preprocessing on the sensor data to generate sensor data feedback, and

transmitting the sensor data feedback.
The method of claim 1, wherein the preprocessing operation comprises one or more of:

an extraction operation to identify features within the sensor data for transmission as the sensor data feedback; or

a compression operation for compressing the sensor data into sensor data feedback.
The method of claim 6, wherein the features within the sensor data comprise:

specific features within the sensor data, or

general features within the sensor data.
The method of claim 7, further comprising:

receiving an indication of the specific features to identify within the sensor data.
The method of claim 6, wherein one or more of the extraction operation or the compression operation comprises application of one or more machine learning models.
The method of claim 9, further comprising:

receiving an indication of one or more parameters for the one or more machine learning models.
The method of claim 1, wherein the capability to perform the preprocessing operation on the sensor data is based at least in part on one or more of:

an operation mode of the UE,

one or more sensor components of the UE, or

one or more sensor components accessible to the UE.
The method of claim 1, wherein the indication of the capability to perform the preprocessing operation comprises one or more of:

an indication of support for the preprocessing operation,

an indication of one or more parameters associated with sensor components of the UE, or

an indication of one or more parameters associated with one or more machine learning models configured for use in the preprocessing operation.
The method of claim 1, further comprising:

receiving a request for the indication of the capability to perform the preprocessing operation,

wherein transmission of the indication of the capability to perform the preprocessing operation is in connection with reception of the request.
The method of claim 13 wherein one or more of the request or the indication of the capability to perform the preprocessing operation are based at least in part on:

a general capability to perform the preprocessing operation, or

a capability to perform the preprocessing operation in an identified scenario.
A method of wireless communication performed by a base station, comprising:

receiving, from a user equipment (UE) , an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and

receiving, from the UE and in connection with the indication of the capability, sensor data feedback that is based at least in part on performance of the preprocessing operation on the sensor data.
The method of claim 15, further comprising:

transmitting, to the UE, an indication to perform the preprocessing operation on the sensor data.
The method of claim 16, wherein transmission of the indication to perform the preprocessing operation comprises:

transmitting the indication to perform the preprocessing operation via radio resource control signaling that includes information elements of sensor location information; or

transmitting the indication to perform the preprocessing operation via radio resource control signaling that is independent from information elements of sensor location information.
The method of claim 16, wherein transmission of the indication to perform the preprocessing operation is based at least in part on a capability of the base station to receive the sensor data feedback.
The method of claim 15, wherein the preprocessing operation comprises one or more of:

an extraction operation to identify features within the sensor data for transmission as the sensor data feedback; or

a compression operation for compressing the sensor data into sensor data feedback.
The method of claim 19, wherein the features within the sensor data comprise:

specific features within the sensor data, or

general features within the sensor data.
The method of claim 20, further comprising:

transmitting an indication of the specific features to identify within the sensor data.
The method of claim 19, wherein one or more of the extraction operation or the compression operation comprises application of one or more machine learning models.
The method of claim 22, further comprising:

transmitting an indication of one or more parameters for the one or more machine learning models.
The method of claim 15, wherein the capability to perform the preprocessing operation on the sensor data is based at least in part on one or more of:

an operation mode of the UE,

one or more sensor components of the UE, or

one or more sensor components accessible to the UE.
The method of claim 15, wherein the indication of the capability to perform the preprocessing operation comprises one or more of:

an indication of support for the preprocessing operation,

an indication of one or more parameters associated with sensor components of the UE, or

an indication of one or more parameters associated with one or more machine learning models configured for use in the preprocessing operation.
The method of claim 15, further comprising:

transmitting a request for the indication of the capability to perform the preprocessing operation,

wherein reception of the indication of the capability to perform the preprocessing operation is in connection with transmission of the request.
The method of claim 26, wherein one or more of the request or the indication of the capability to perform the preprocessing operation are based at least in part on:

a general capability to perform the preprocessing operation, or

a capability to perform the preprocessing operation in an identified scenario.
A user equipment (UE) for wireless communication, comprising:

a memory; and

one or more processors coupled with the memory, the memory and the one or more processors configured to:

transmit an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and

perform, in connection with the indication of the capability, a sensor data feedback operation on the sensor data before transmission of the sensor data feedback.
A base station for wireless communication, comprising:

a memory; and

one or more processors coupled with the memory, the memory and the one or more processors configured to:

receive, from a user equipment (UE) , an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and

receive, from the UE and in connection with the indication of the capability, sensor data feedback that is based at least in part on performance of the preprocessing operation on the sensor data.
A non-transitory computer-readable medium storing a set of instructions for wireless communication, the set of instructions comprising:

one or more instructions that, when executed by one or more processors of a user equipment (UE) , cause the UE to:

transmit an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and

perform, in connection with the indication of the capability, a sensor data feedback operation on the sensor data before transmission of the sensor data feedback.
A non-transitory computer-readable medium storing a set of instructions for wireless communication, the set of instructions comprising:

one or more instructions that, when executed by one or more processors of a base station, cause the base station to:

receive, from a user equipment (UE) , an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and

receive, from the UE and in connection with the indication of the capability, sensor data feedback that is based at least in part on performance of the preprocessing operation on the sensor data.
An apparatus for wireless communication, comprising:

means for transmitting an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and

means for performing, in connection with the indication of the capability, a sensor data feedback operation on the sensor data before transmission of the sensor data feedback.
An apparatus for wireless communication, comprising:

means for receiving, from a user equipment (UE) , an indication of a capability to perform a preprocessing operation on sensor data before transmission of sensor data feedback; and

means for receiving, from the UE and in connection with the indication of the capability, sensor data feedback that is based at least in part on performance of the preprocessing operation on the sensor data.